Relational databases (SQL under MySql DBMS) - Private lessons

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Relational databases (SQL under MySql DBMS)

From 23 € /h

Description:
This course is a comprehensive introduction to database management, including design, administration, and integration into applications.

Goals :

Understand relational models and the use of the SQL language.
Create and administer efficient and secure databases.
Integrating foundations into modern applications.
Course methods and format:

Video courses: Guided practice on tools like MySQL or PostgreSQL.
Flexibility: Exercises adapted to your specific projects.
For who ?
Students, developers or professionals wishing to master databases.

Location

Online from Morocco

About Me

Hello,

I have been passionate about computers for over 20 years. With two decades of teaching experience, I have had the privilege of supporting learners of all ages and levels in developing their computer skills and achieving their professional and personal goals.

Computer science is an essential skill today, opening the door to countless opportunities. Whether you want to learn programming, website design, data analysis, or complex problem-solving, I'm here to guide you every step of the way.

Education

PhD in Computer Science (Artificial Intelligence), Master in E-commerce, Python Certified, Adobe Certified, Microsoft Certified, Several Scientific Publications,

Experience / Qualifications

20 years of experience in computer teaching.
Proven methods suitable for all levels.
Personalized support to help you achieve your goals.
A passion for passing on skills that make a difference.

Age

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

90 minutes

The class is taught in

French

Arabic

English

Skills

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Cybersecurity, practical work, practice exams, etc.

23 € /h

1 Discover the pillars of Cybersecurity
2 Identify terminology related to Cybersecurity
3 Understand the different postures of Cybersecurity
4 Understanding the term Cybersecurity,
5 Identify Cybersecurity terminologies,
6 Know the tactics, techniques and procedures used by attackers,
7 Practical workshops

Read more

Web Programming Languages (HTML, CSS, JavaScript)

27 € /h

Description:
Get started with web development and learn how to create modern applications. This course takes you from the basics (HTML/CSS) to advanced concepts (security, APIs).

Goals :

Master HTML, CSS and JavaScript.
Understand the basics of authentication and web services.
Explore the concepts of security and load testing.
Course methods and format:

Video course: Creation of interactive mini-web projects.
Flexibility: Adapted to specific needs (beginner or advanced).
For who ?
Students, budding developers or professionals wishing to get started in the web.

Read more

Show more

This course is accessible for all skill levels, from those who want to learn programming to those who are already familiar with it.

Therefore, the purpose of the course will depend primarily on your knowledge and what you wish to learn.

Obviously, if you are a complete beginner, you will be given an algorithm course to familiarize yourself with programming methods.
These algorithm courses will be complemented by exercises in Pascal, Python or Java (or other programming language according to your preference) where other concepts will appear as we go along (procedures, object-oriented, ...).
SQL courses will also be offered for intermediate and/or advanced level students.

The idea of this course is to help you understand concepts either through theory, through kata, or both.

The most advanced courses will focus on frameworks such as Vaadin, JavaFX, ...

In short, feel free to contact me for further information and/or to provide me with the information that will allow me to offer you a tailor-made course that meets your needs.
I remain available for an initial contact to assess your level or knowledge if you need it.

Master Algorithmic Logic and Development
Learning to program at the university or engineering school level is not just about writing lines of code: it's about learning to analyze complex problems, construct logical reasoning, and develop effective solutions. Holding a PhD in Computer Science and a State Engineering Diploma, I bring my more than 35 years of experience to bear on helping students and professionals achieve complete mastery of programming.

Expertise and Pedagogy through Practice
Whether you're preparing for an exam, a complex academic project, or a technical interview, my goal is to make you completely independent. We will work together on:

Essential languages: Python, Java, and SQL (databases).

Advanced algorithms and data structures.

Object-Oriented Programming (OOP).

Optimization, structured design and debugging of your programs.

Rather than memorizing code, you will acquire the good programming practices required in higher education and business, including the thoughtful use of assistive tools (AI) to verify and improve your solutions.

Work Environment and Requirements
Programming requires precise, interactive, and technical guidance. Therefore, it's essential to note that the course is conducted via webcam and video conference with screen sharing. This format allows us to write, test, and debug your code together in real time, ensuring extremely rapid progress.

To ensure a serious and immediate commitment to your development projects, a trial lesson or brief webcam chat is not part of my approach. We dive straight into analyzing your code and resolving your issues from our very first session.

Support Formats

60-minute session: Ideal for unlocking a specific bug, understanding a complex algorithmic concept, or correcting a targeted program.

90-minute session: Recommended for making significant progress on a university project, preparing for a computer science exam, or undertaking a complete refresher course.

I would be delighted to pass on to you the rigor and technical expertise that will allow you to excel in computer science.

- B.tech and M.tech in Computer Science
- Worked as a Software engineer in Virtusa Corp & DIGIDEZ
- More than 6 years of teaching experience
- Oracle Certified Developer
- Helped students placed in FAANG

Featured Review :
Been trying to learn Java on my own for about 1 year and I couldn't get a grasp on it. Aniket make learning Java a fun experience and challenges you to think for yourself to reinforce the concepts you've learned. I am truly excited for our meetings and he makes time go by so fast that I'm upset when they end. Great teacher and he is genuinely passionate about your success. If I could give him more stars I would!!!

Thanks
Aniket

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Do you need professional support for your quantitative data analysis?
I offer you a personalized service, adapted to your academic or professional needs.

Whether you are a student, researcher, consultant or professional, I put my expertise at your disposal to help you:
Prepare and organize your databases,
Perform reliable statistical analyses with R, Stata, SPSS...
Interpret your results rigorously,
Present your work in the form of clear reports, graphics and publications.
Each project is handled with rigor, pedagogy, and confidentiality. You benefit from tailored support, whether for a professional assignment, a dissertation, a thesis, or a publication.

For those who wish to train in parallel, I have also designed a complete course to learn how to explore, manipulate and analyze your data independently.

Dive into the world of SQL databases with this comprehensive course designed for learners of all levels. Whether you are new to databases or seeking to expand your expertise to advanced concepts like distributed systems, this course has you covered.

What You can Learn:
- Fundamentals of relational databases and SQL syntax.
- Designing robust databases using normalization and entity relationships.
- Writing complex queries, joins, and subqueries.
- Database optimization techniques for performance tuning.
- Implementing stored procedures, triggers, and views.
- Managing transactions and ensuring data integrity.
- Understanding and working with distributed database systems like Distributed PostgreSQL

Introduction to Databases

Learn about the importance of databases in the digital world, their role in managing and exploiting data, and the fundamental concepts of structured storage.
SQL for Beginners

Learn the basics of SQL: SELECT, INSERT, UPDATE, DELETE queries, joins, aggregate functions and more to effectively interact with a database.
MySQL and WAMP Server

Install and configure WAMP Server to create and manage MySQL databases locally. Learn how to use phpMyAdmin for easy management.
DBever and SQL Server

Introduction to professional database management tools: Get started with DBever and SQL Server to administer, analyze and optimize your databases.
Database Management and Operation

Learn best practices for database management: indexing, query optimization, data security and backup.
Database Administration

Understand the roles of a database administrator (DBA): user management, access rights, maintenance and performance monitoring.
Practical DBMS Project

Apply your knowledge to a real-world database management project, from design to deployment, optimization and administration.

I will need everyone to understand how tech works before SQL, PHYTHON, AWS, AI or DevOps and so much more. in a quest, to understanding how tech works, everyone is expected to learn the basics because it’s all interwoven. I specialised in tutoring and mentorship of SQL and some widely used database systems from beginners level. my goal is to ensure the steps to steps build up in taught well and tutor you to become a confident professional.
I am more interested in guiding you through your tech journey, you will be pleased to learn a lot about assessing and data manipulation and so much more you could to do with Sql.

My lessons are designed to take you from simply following code to genuinely understanding how data science works.

We can cover the complete data science process, including data cleaning, exploratory data analysis, feature engineering, visualisation, statistics, machine learning, model evaluation and communicating results.

Depending on your goals, lessons can include:

Python, pandas, NumPy and scikit-learn
Data cleaning and exploratory analysis
Regression and classification
Decision trees, random forests and boosting
Clustering and dimensionality reduction
Cross-validation and model evaluation
Feature engineering and model interpretation
Neural networks and deep learning foundations
Bayesian modelling and PyMC
Portfolio and interview preparation
Support understanding university modules and projects

I use diagrams, analogies and practical demonstrations to make difficult ideas easier to understand. We will normally begin with an intuitive explanation, look at the underlying logic or mathematics, and then implement the concept in Python.

Lessons are personalised around your level. Complete beginners receive a structured learning path, while experienced students can focus on advanced topics, project guidance, debugging or interview preparation.

You will be encouraged to explain ideas back to me, interpret results and make your own modelling decisions. My goal is not only to help you produce working code, but to help you become an independent and confident data scientist.

As a senior computer science professor with over 19 years of experience, I offer courses tailored to students, beginners, and professionals. You will learn computer science, programming, SQL and NoSQL databases, as well as the main concepts of artificial intelligence. The courses are based on clear explanations, concrete examples, and practical exercises. The content is adapted to your level and objectives, whether you want to learn, prepare for an exam, complete a project, or improve your skills.

Are you studying DAM, DAW, ASIR, Computer Engineering or other technological training and need help with SQL or databases?

The classes are online, one-on-one, and fully tailored to your syllabus, level, and goals. We can start from scratch, prepare you for a subject or exam, help you with practice problems, work on a project, or delve deeper into more advanced topics.

We can work on content such as:

* database design and modeling;
* entity-relationship diagrams;
* relational model;
* standardization;
* creation and modification of tables;
* SQL queries;
* JOIN and relationships between tables;
* subqueries;
* aggregation and grouping functions;
* views;
* procedures and functions;
* triggers;
* transactions;
* PL/SQL;
* query optimization and debugging;
* Connecting databases to applications.

We can work with **MySQL, MariaDB, PostgreSQL, Oracle** and other database management systems depending on the technology you use in your subject or project.

My goal is not for you to memorize queries. We will work to help you learn to analyze what information you need, which tables are involved, how to relate them, and how to build the solution step by step.

We can also work on your own exercises, practices, databases or projects, as well as prepare exams and assignments for vocational training or university.

In addition to the classes, you will have access to our educational platform with its own documentation, examples, exercises, practices and other resources to continue working between sessions.

Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals.

The course content is titled: Advanced Analysis and Data Mining.
The book can be searched for using its name or the author's name.

Table of Contents

Chapter 1: Introduction to Advanced Analysis and Data Mining
1-1 What is data mining, its procedures and tools
1-2 What type of data is mined?
1-3 What are databases?
1-4 Relational Database
1-5 Query Language
1-6 Benefits of Database Mining
1-7 months data mining applications
A - Business Intelligence (Business Intelligence)
B - Internet search engines

Chapter Two: Data Recognition
2-1 Data Types, Characteristics, and Features
2-2 Statistical Description of Data
2-3 Visualization of Data
2-4 Measuring data similarity and difference
Chapter Three: Preparing Data for Analysis and Mining
3-1 The importance of preparing data for analysis and mining
3-2 Data Cleanup
3-3 Data Integration
3-4 Data Reduction
3-5 Data Transformation and Data Individualization

Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules
4-1 Basic Concepts
4-2 Shopping basket analysis (example)
4-3 Evaluating the dependency and correlation rules being explored
4-4 Mining Multi-Level Dependency and Linkage Rules
4-5 Mining multidimensional dependency and correlation rules
4-6 Rules of nominal and quantitative dependency and correlation
4-7 Exploring and identifying rare and negative patterns
4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage
4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones
4-10 Measuring the type and strength of the relationship in dependency and correlation rules
4-11 Applications of pattern mining in practical life

Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms
5-1 Basic Concepts
5-2 Classification using decision tree extrapolation
5-3 Classification using probability theory (hypothetical theory)
5-4 Classification using hypothetical network theory
5-5 Classification using correlation rules extrapolation
5-6 Classification using neural network algorithm
5-7 Classification using the nearest neighbor algorithm
5-8 Multi-category classification algorithms
5-9 Evaluating the efficiency and selection of classification algorithms

Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms
6-1 Basic Concepts
6-2 Clustering by Division
6-3 Hierarchical Clustering
A. Hierarchical clustering
b. Hierarchical fission
6-4 Probability Clustering
6-5 High-Dimensional Clustering
6-6 Clustering of graphs and network data
6-7 Conditional Clustering
6-8 Cluster Segmentation Assessment

Chapter Seven: Analyzing and Mining Outliers and Complex Data Types
7-1 Basic Concepts
7-2 Types of extreme values
7-3 Ways to Explore Extreme Values
7-4 Complex Data Analysis and Mining

Chapter Eight: Planning Data Mining Operations and Their Applications in Society
8-1 Planning Data Mining Operations
8-2 Data Mining in the Community
8-3 Data mining applications in vital areas of society
8-4 Practical Application: Recommendation System Usage Scenario

Appendix 1: Database Fundamentals
Appendix 2: Data Warehouse Fundamentals
Appendix 3: Glossary of Data Mining Terms

I specialize in tutoring programming and software development, with a focus on Java, Spring Boot, Angular, SQL. My goal is to help students build a strong understanding of programming while keeping lessons practical, engaging, and appropriately challenging—not overwhelming. This class is designed for students and aspiring developers who want to strengthen their programming skills or start their journey in software engineering. We can work on programming fundamentals, web development, databases, APIs, backend and frontend development. I use practical examples and hands-on exercises to help you understand concepts and apply them to real-world projects.

Modern biological research relies heavily on computational tools to analyze complex genomic, transcriptomic, and proteomic data. This course offers practical, hands-on tutoring in bioinformatics for university students, researchers, and biological science professionals looking to gain strong computational and analytical skills.

Drawing on an extensive academic background in biological sciences and computational methodologies, I guide students through core computational workflows:
Sequence Alignment & Search: BLAST algorithms, multiple sequence alignment (Clustal Omega, MUSCLE), and pairwise alignment techniques.
Genomics & Transcriptomics: Next-Generation Sequencing (NGS) data processing, variant calling, and differential gene expression analysis.
Structural Bioinformatics: Protein structure prediction, molecular visualization (PyMOL, Chimera), and macromolecular interaction analysis.
Biological Databases & Programmatic Access: Extracting and parsing data from NCBI, UniProt, Ensembl, and PDB using Python/R scripting.
Phylogenetics & Systems Biology: Building phylogenetic trees, evolutionary distance calculations, and metabolic network modeling.

Sessions are tailored to your specific coursework, thesis project, or research needs, helping you transition seamlessly from raw biological data to meaningful biological insight.

Feel free to reach out with your project details or course outline to discuss how we can structure your lessons!

I am an experienced computer science teacher with many years of teaching experience and a university degree in Mathematics and Computer Science.

I offer individual online lessons in programming and computer science for school students, as well as support for university students in selected subjects. Lessons can cover Python, MATLAB, SQL and databases, algorithms and programming fundamentals, computer systems, and web development with HTML, CSS and JavaScript.

My lessons are adapted to each student's previous knowledge, current curriculum and individual goals. I explain concepts step by step and focus on understanding the logic behind programming rather than simply memorizing code.

We can work on current school or university topics, programming exercises and assignments, fill gaps in knowledge, prepare for tests and exams, or develop practical programming skills.

Lessons are taught online in Serbian, Bosnian or Croatian, which can be particularly helpful for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.

This course is accessible for all skill levels, from those who want to learn programming to those who are already familiar with it.

Therefore, the purpose of the course will depend primarily on your knowledge and what you wish to learn.

Obviously, if you are a complete beginner, you will be given an algorithm course to familiarize yourself with programming methods.
These algorithm courses will be complemented by exercises in Pascal, Python or Java (or other programming language according to your preference) where other concepts will appear as we go along (procedures, object-oriented, ...).
SQL courses will also be offered for intermediate and/or advanced level students.

The idea of this course is to help you understand concepts either through theory, through kata, or both.

The most advanced courses will focus on frameworks such as Vaadin, JavaFX, ...

In short, feel free to contact me for further information and/or to provide me with the information that will allow me to offer you a tailor-made course that meets your needs.
I remain available for an initial contact to assess your level or knowledge if you need it.

Master Algorithmic Logic and Development
Learning to program at the university or engineering school level is not just about writing lines of code: it's about learning to analyze complex problems, construct logical reasoning, and develop effective solutions. Holding a PhD in Computer Science and a State Engineering Diploma, I bring my more than 35 years of experience to bear on helping students and professionals achieve complete mastery of programming.

Expertise and Pedagogy through Practice
Whether you're preparing for an exam, a complex academic project, or a technical interview, my goal is to make you completely independent. We will work together on:

Essential languages: Python, Java, and SQL (databases).

Advanced algorithms and data structures.

Object-Oriented Programming (OOP).

Optimization, structured design and debugging of your programs.

Rather than memorizing code, you will acquire the good programming practices required in higher education and business, including the thoughtful use of assistive tools (AI) to verify and improve your solutions.

Work Environment and Requirements
Programming requires precise, interactive, and technical guidance. Therefore, it's essential to note that the course is conducted via webcam and video conference with screen sharing. This format allows us to write, test, and debug your code together in real time, ensuring extremely rapid progress.

To ensure a serious and immediate commitment to your development projects, a trial lesson or brief webcam chat is not part of my approach. We dive straight into analyzing your code and resolving your issues from our very first session.

Support Formats

60-minute session: Ideal for unlocking a specific bug, understanding a complex algorithmic concept, or correcting a targeted program.

90-minute session: Recommended for making significant progress on a university project, preparing for a computer science exam, or undertaking a complete refresher course.

I would be delighted to pass on to you the rigor and technical expertise that will allow you to excel in computer science.

- B.tech and M.tech in Computer Science
- Worked as a Software engineer in Virtusa Corp & DIGIDEZ
- More than 6 years of teaching experience
- Oracle Certified Developer
- Helped students placed in FAANG

Featured Review :
Been trying to learn Java on my own for about 1 year and I couldn't get a grasp on it. Aniket make learning Java a fun experience and challenges you to think for yourself to reinforce the concepts you've learned. I am truly excited for our meetings and he makes time go by so fast that I'm upset when they end. Great teacher and he is genuinely passionate about your success. If I could give him more stars I would!!!

Thanks
Aniket

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Do you need professional support for your quantitative data analysis?
I offer you a personalized service, adapted to your academic or professional needs.

Whether you are a student, researcher, consultant or professional, I put my expertise at your disposal to help you:
Prepare and organize your databases,
Perform reliable statistical analyses with R, Stata, SPSS...
Interpret your results rigorously,
Present your work in the form of clear reports, graphics and publications.
Each project is handled with rigor, pedagogy, and confidentiality. You benefit from tailored support, whether for a professional assignment, a dissertation, a thesis, or a publication.

For those who wish to train in parallel, I have also designed a complete course to learn how to explore, manipulate and analyze your data independently.

Dive into the world of SQL databases with this comprehensive course designed for learners of all levels. Whether you are new to databases or seeking to expand your expertise to advanced concepts like distributed systems, this course has you covered.

What You can Learn:
- Fundamentals of relational databases and SQL syntax.
- Designing robust databases using normalization and entity relationships.
- Writing complex queries, joins, and subqueries.
- Database optimization techniques for performance tuning.
- Implementing stored procedures, triggers, and views.
- Managing transactions and ensuring data integrity.
- Understanding and working with distributed database systems like Distributed PostgreSQL

Introduction to Databases

Learn about the importance of databases in the digital world, their role in managing and exploiting data, and the fundamental concepts of structured storage.
SQL for Beginners

Learn the basics of SQL: SELECT, INSERT, UPDATE, DELETE queries, joins, aggregate functions and more to effectively interact with a database.
MySQL and WAMP Server

Install and configure WAMP Server to create and manage MySQL databases locally. Learn how to use phpMyAdmin for easy management.
DBever and SQL Server

Introduction to professional database management tools: Get started with DBever and SQL Server to administer, analyze and optimize your databases.
Database Management and Operation

Learn best practices for database management: indexing, query optimization, data security and backup.
Database Administration

Understand the roles of a database administrator (DBA): user management, access rights, maintenance and performance monitoring.
Practical DBMS Project

Apply your knowledge to a real-world database management project, from design to deployment, optimization and administration.

I will need everyone to understand how tech works before SQL, PHYTHON, AWS, AI or DevOps and so much more. in a quest, to understanding how tech works, everyone is expected to learn the basics because it’s all interwoven. I specialised in tutoring and mentorship of SQL and some widely used database systems from beginners level. my goal is to ensure the steps to steps build up in taught well and tutor you to become a confident professional.
I am more interested in guiding you through your tech journey, you will be pleased to learn a lot about assessing and data manipulation and so much more you could to do with Sql.

My lessons are designed to take you from simply following code to genuinely understanding how data science works.

We can cover the complete data science process, including data cleaning, exploratory data analysis, feature engineering, visualisation, statistics, machine learning, model evaluation and communicating results.

Depending on your goals, lessons can include:

Python, pandas, NumPy and scikit-learn
Data cleaning and exploratory analysis
Regression and classification
Decision trees, random forests and boosting
Clustering and dimensionality reduction
Cross-validation and model evaluation
Feature engineering and model interpretation
Neural networks and deep learning foundations
Bayesian modelling and PyMC
Portfolio and interview preparation
Support understanding university modules and projects

I use diagrams, analogies and practical demonstrations to make difficult ideas easier to understand. We will normally begin with an intuitive explanation, look at the underlying logic or mathematics, and then implement the concept in Python.

Lessons are personalised around your level. Complete beginners receive a structured learning path, while experienced students can focus on advanced topics, project guidance, debugging or interview preparation.

You will be encouraged to explain ideas back to me, interpret results and make your own modelling decisions. My goal is not only to help you produce working code, but to help you become an independent and confident data scientist.

As a senior computer science professor with over 19 years of experience, I offer courses tailored to students, beginners, and professionals. You will learn computer science, programming, SQL and NoSQL databases, as well as the main concepts of artificial intelligence. The courses are based on clear explanations, concrete examples, and practical exercises. The content is adapted to your level and objectives, whether you want to learn, prepare for an exam, complete a project, or improve your skills.

Are you studying DAM, DAW, ASIR, Computer Engineering or other technological training and need help with SQL or databases?

The classes are online, one-on-one, and fully tailored to your syllabus, level, and goals. We can start from scratch, prepare you for a subject or exam, help you with practice problems, work on a project, or delve deeper into more advanced topics.

We can work on content such as:

* database design and modeling;
* entity-relationship diagrams;
* relational model;
* standardization;
* creation and modification of tables;
* SQL queries;
* JOIN and relationships between tables;
* subqueries;
* aggregation and grouping functions;
* views;
* procedures and functions;
* triggers;
* transactions;
* PL/SQL;
* query optimization and debugging;
* Connecting databases to applications.

We can work with **MySQL, MariaDB, PostgreSQL, Oracle** and other database management systems depending on the technology you use in your subject or project.

My goal is not for you to memorize queries. We will work to help you learn to analyze what information you need, which tables are involved, how to relate them, and how to build the solution step by step.

We can also work on your own exercises, practices, databases or projects, as well as prepare exams and assignments for vocational training or university.

In addition to the classes, you will have access to our educational platform with its own documentation, examples, exercises, practices and other resources to continue working between sessions.

Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals.

The course content is titled: Advanced Analysis and Data Mining.
The book can be searched for using its name or the author's name.

Table of Contents

Chapter 1: Introduction to Advanced Analysis and Data Mining
1-1 What is data mining, its procedures and tools
1-2 What type of data is mined?
1-3 What are databases?
1-4 Relational Database
1-5 Query Language
1-6 Benefits of Database Mining
1-7 months data mining applications
A - Business Intelligence (Business Intelligence)
B - Internet search engines

Chapter Two: Data Recognition
2-1 Data Types, Characteristics, and Features
2-2 Statistical Description of Data
2-3 Visualization of Data
2-4 Measuring data similarity and difference
Chapter Three: Preparing Data for Analysis and Mining
3-1 The importance of preparing data for analysis and mining
3-2 Data Cleanup
3-3 Data Integration
3-4 Data Reduction
3-5 Data Transformation and Data Individualization

Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules
4-1 Basic Concepts
4-2 Shopping basket analysis (example)
4-3 Evaluating the dependency and correlation rules being explored
4-4 Mining Multi-Level Dependency and Linkage Rules
4-5 Mining multidimensional dependency and correlation rules
4-6 Rules of nominal and quantitative dependency and correlation
4-7 Exploring and identifying rare and negative patterns
4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage
4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones
4-10 Measuring the type and strength of the relationship in dependency and correlation rules
4-11 Applications of pattern mining in practical life

Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms
5-1 Basic Concepts
5-2 Classification using decision tree extrapolation
5-3 Classification using probability theory (hypothetical theory)
5-4 Classification using hypothetical network theory
5-5 Classification using correlation rules extrapolation
5-6 Classification using neural network algorithm
5-7 Classification using the nearest neighbor algorithm
5-8 Multi-category classification algorithms
5-9 Evaluating the efficiency and selection of classification algorithms

Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms
6-1 Basic Concepts
6-2 Clustering by Division
6-3 Hierarchical Clustering
A. Hierarchical clustering
b. Hierarchical fission
6-4 Probability Clustering
6-5 High-Dimensional Clustering
6-6 Clustering of graphs and network data
6-7 Conditional Clustering
6-8 Cluster Segmentation Assessment

Chapter Seven: Analyzing and Mining Outliers and Complex Data Types
7-1 Basic Concepts
7-2 Types of extreme values
7-3 Ways to Explore Extreme Values
7-4 Complex Data Analysis and Mining

Chapter Eight: Planning Data Mining Operations and Their Applications in Society
8-1 Planning Data Mining Operations
8-2 Data Mining in the Community
8-3 Data mining applications in vital areas of society
8-4 Practical Application: Recommendation System Usage Scenario

Appendix 1: Database Fundamentals
Appendix 2: Data Warehouse Fundamentals
Appendix 3: Glossary of Data Mining Terms

I specialize in tutoring programming and software development, with a focus on Java, Spring Boot, Angular, SQL. My goal is to help students build a strong understanding of programming while keeping lessons practical, engaging, and appropriately challenging—not overwhelming. This class is designed for students and aspiring developers who want to strengthen their programming skills or start their journey in software engineering. We can work on programming fundamentals, web development, databases, APIs, backend and frontend development. I use practical examples and hands-on exercises to help you understand concepts and apply them to real-world projects.

Modern biological research relies heavily on computational tools to analyze complex genomic, transcriptomic, and proteomic data. This course offers practical, hands-on tutoring in bioinformatics for university students, researchers, and biological science professionals looking to gain strong computational and analytical skills.

Drawing on an extensive academic background in biological sciences and computational methodologies, I guide students through core computational workflows:
Sequence Alignment & Search: BLAST algorithms, multiple sequence alignment (Clustal Omega, MUSCLE), and pairwise alignment techniques.
Genomics & Transcriptomics: Next-Generation Sequencing (NGS) data processing, variant calling, and differential gene expression analysis.
Structural Bioinformatics: Protein structure prediction, molecular visualization (PyMOL, Chimera), and macromolecular interaction analysis.
Biological Databases & Programmatic Access: Extracting and parsing data from NCBI, UniProt, Ensembl, and PDB using Python/R scripting.
Phylogenetics & Systems Biology: Building phylogenetic trees, evolutionary distance calculations, and metabolic network modeling.

Sessions are tailored to your specific coursework, thesis project, or research needs, helping you transition seamlessly from raw biological data to meaningful biological insight.

Feel free to reach out with your project details or course outline to discuss how we can structure your lessons!

I am an experienced computer science teacher with many years of teaching experience and a university degree in Mathematics and Computer Science.

I offer individual online lessons in programming and computer science for school students, as well as support for university students in selected subjects. Lessons can cover Python, MATLAB, SQL and databases, algorithms and programming fundamentals, computer systems, and web development with HTML, CSS and JavaScript.

My lessons are adapted to each student's previous knowledge, current curriculum and individual goals. I explain concepts step by step and focus on understanding the logic behind programming rather than simply memorizing code.

We can work on current school or university topics, programming exercises and assignments, fill gaps in knowledge, prepare for tests and exams, or develop practical programming skills.

Lessons are taught online in Serbian, Bosnian or Croatian, which can be particularly helpful for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.

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